Databricks, Python, responsible AI, model evaluation, model explainability, fairness, Privacy, ML frameworks, feature engineering

probability , Tensorflow, Numpy, Nlp, Pytorch, Real-Time, Python, AWS, Apis, Batch, Clustering, Sql, Deep Learning, Pandas, Gcp, Time Series, Azure, end-to-end ML models, Training, large datasets, model evaluation, Classification, Deployment, Validation, data preprocessing, Data Analysis, ML algorithms, Cloud platforms, Scikit-learn, Statistics, Regression, Recommendation Systems, feature engineering, tuning techniques, ML model deployment

Matplotlib, Amazon Web Services, Google Cloud Platform, Power Bi, Pyspark, Tableau, Tensorflow, Pytorch, Seaborn, Microsoft Azure, Databricks, Keras, Python, MLflow, GitHub Copilot, Dask, Amazon CodeWhisperer

Python Programming, Data Analysis, Jupyter notebooks, data science methodologies

Power Bi, Tableau, Clustering, Python, Sql, Prioritization, Forecasting, Looker, Classification

probability , Tensorflow, Pytorch, Python, Sql, advanced mathematical concepts, scikit-learn, financial regulations, Statistical Modeling

Machine Learning, MLops, Data Mining, Deep Learning, Generative AI, Statistical Methods